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diff --git a/osipovamd/docs/Task1.docx b/osipovamd/docs/Task1.docx
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diff --git a/osipovamd/docs/results.csv b/osipovamd/docs/results.csv
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+++ b/osipovamd/docs/results.csv
@@ -0,0 +1,19 @@
+Структура,Режим,Операция,Замер1,Замер2,Замер3,Среднее
+LinkedList,случайный,вставка,0.014099,0.014181,0.014180,0.014153
+LinkedList,случайный,поиск,0.001849,0.001841,0.001897,0.001862
+LinkedList,случайный,удаление,0.000859,0.000863,0.000825,0.000849
+LinkedList,отсортированный,вставка,0.012913,0.012512,0.012566,0.012663
+LinkedList,отсортированный,поиск,0.001616,0.001457,0.001696,0.001590
+LinkedList,отсортированный,удаление,0.000992,0.000931,0.000940,0.000954
+HashTable,случайный,вставка,0.001368,0.001415,0.001385,0.001389
+HashTable,случайный,поиск,0.000162,0.000153,0.000146,0.000153
+HashTable,случайный,удаление,0.000076,0.000075,0.000075,0.000075
+HashTable,отсортированный,вставка,0.001275,0.001258,0.001376,0.001303
+HashTable,отсортированный,поиск,0.000169,0.000139,0.000140,0.000149
+HashTable,отсортированный,удаление,0.000080,0.000080,0.000079,0.000080
+BST,случайный,вставка,0.000514,0.000482,0.000507,0.000501
+BST,случайный,поиск,0.000081,0.000056,0.000055,0.000064
+BST,случайный,удаление,0.000042,0.000038,0.000039,0.000040
+BST,отсортированный,вставка,0.018947,0.018836,0.018665,0.018816
+BST,отсортированный,поиск,0.002172,0.002200,0.001973,0.002115
+BST,отсортированный,удаление,0.001400,0.001407,0.001390,0.001399
diff --git a/osipovamd/docs/task1.py b/osipovamd/docs/task1.py
new file mode 100644
index 0000000..f6f1e25
--- /dev/null
+++ b/osipovamd/docs/task1.py
@@ -0,0 +1,493 @@
+import time
+import random
+import csv
+import matplotlib.pyplot as plt
+import numpy as np
+import sys
+from collections import defaultdict
+
+# Увеличиваем лимит рекурсии для BST
+sys.setrecursionlimit(10000)
+
+
+def ll_insert(head, name, phone):
+    current = head
+    while current:
+        if current['name'] == name:
+            current['phone'] = phone
+            return head
+        current = current['next']
+    new_node = {'name': name, 'phone': phone, 'next': head}
+    return new_node
+
+def ll_find(head, name):
+    current = head
+    while current:
+        if current['name'] == name:
+            return current['phone']
+        current = current['next']
+    return None
+
+def ll_delete(head, name):
+    if not head:
+        return None
+    if head['name'] == name:
+        return head['next']
+    current = head
+    while current['next']:
+        if current['next']['name'] == name:
+            current['next'] = current['next']['next']
+            return head
+        current = current['next']
+    return head
+
+def ll_list_all(head):
+    records = []
+    current = head
+    while current:
+        records.append((current['name'], current['phone']))
+        current = current['next']
+    records.sort(key=lambda x: x[0])
+    return records
+
+def hash_function(name, size):
+    return sum(ord(c) for c in name) % size
+
+def ht_create(size=1000):
+    return [None] * size
+
+def ht_insert(buckets, name, phone):
+    index = hash_function(name, len(buckets))
+    buckets[index] = ll_insert(buckets[index], name, phone)
+
+def ht_find(buckets, name):
+    index = hash_function(name, len(buckets))
+    return ll_find(buckets[index], name)
+
+def ht_delete(buckets, name):
+    index = hash_function(name, len(buckets))
+    buckets[index] = ll_delete(buckets[index], name)
+
+def ht_list_all(buckets):
+    records = []
+    for bucket in buckets:
+        current = bucket
+        while current:
+            records.append((current['name'], current['phone']))
+            current = current['next']
+    records.sort(key=lambda x: x[0])
+    return records
+
+def bst_insert(root, name, phone):
+    """Итеративная вставка для избежания RecursionError"""
+    new_node = {'name': name, 'phone': phone, 'left': None, 'right': None}
+    
+    if root is None:
+        return new_node
+    
+    current = root
+    while True:
+        if name < current['name']:
+            if current['left'] is None:
+                current['left'] = new_node
+                break
+            current = current['left']
+        elif name > current['name']:
+            if current['right'] is None:
+                current['right'] = new_node
+                break
+            current = current['right']
+        else:
+            current['phone'] = phone
+            break
+    
+    return root
+
+def bst_find(root, name):
+    current = root
+    while current:
+        if name == current['name']:
+            return current['phone']
+        elif name < current['name']:
+            current = current['left']
+        else:
+            current = current['right']
+    return None
+
+def bst_find_min(node):
+    current = node
+    while current and current['left']:
+        current = current['left']
+    return current
+
+def bst_delete(root, name):
+    if root is None:
+        return None
+    
+    if name < root['name']:
+        root['left'] = bst_delete(root['left'], name)
+    elif name > root['name']:
+        root['right'] = bst_delete(root['right'], name)
+    else:
+        if root['left'] is None:
+            return root['right']
+        elif root['right'] is None:
+            return root['left']
+        
+        min_node = bst_find_min(root['right'])
+        root['name'] = min_node['name']
+        root['phone'] = min_node['phone']
+        root['right'] = bst_delete(root['right'], min_node['name'])
+    
+    return root
+
+def bst_list_all(root):
+    records = []
+    stack = []
+    current = root
+    
+    while stack or current:
+        while current:
+            stack.append(current)
+            current = current['left']
+        current = stack.pop()
+        records.append((current['name'], current['phone']))
+        current = current['right']
+    
+    return records
+
+def copy_linked_list(head):
+    if not head:
+        return None
+    new_head = {'name': head['name'], 'phone': head['phone'], 'next': None}
+    current_new = new_head
+    current_old = head['next']
+    while current_old:
+        current_new['next'] = {'name': current_old['name'], 'phone': current_old['phone'], 'next': None}
+        current_new = current_new['next']
+        current_old = current_old['next']
+    return new_head
+
+def copy_bst(node):
+    if not node:
+        return None
+    return {
+        'name': node['name'],
+        'phone': node['phone'],
+        'left': copy_bst(node['left']),
+        'right': copy_bst(node['right'])
+    }
+
+
+def generate_test_data(N=10000):
+
+    names = [f"User_{i:05d}" for i in range(N)]
+    records = [(name, f"+7-999-{random.randint(1000000, 9999999)}") for name in names]
+    
+    records_shuffled = records.copy()
+    random.shuffle(records_shuffled)
+    
+    records_sorted = sorted(records, key=lambda x: x[0])
+    
+    return records_shuffled, records_sorted
+
+def get_test_queries(records, num_existing=100, num_nonexisting=10):
+    existing_names = [name for name, _ in random.sample(records, min(num_existing, len(records)))]
+    nonexisting_names = [f"None_{i:05d}" for i in range(num_nonexisting)]
+    
+    queries = existing_names + nonexisting_names
+    random.shuffle(queries)
+    
+    return queries
+
+def get_delete_names(records, num_to_delete=50):
+    return [name for name, _ in random.sample(records, min(num_to_delete, len(records)))]
+
+
+def measure_insertion(structure_type, records, repeats=3):
+    times = []
+    
+    for _ in range(repeats):
+        if structure_type == "LinkedList":
+            structure = None
+            insert_func = ll_insert
+        elif structure_type == "HashTable":
+            structure = ht_create(2000)
+            insert_func = ht_insert
+        elif structure_type == "BST":
+            structure = None
+            insert_func = bst_insert
+        else:
+            raise ValueError(f"Unknown structure: {structure_type}")
+        
+        start = time.perf_counter()
+        
+        for name, phone in records:
+            if structure_type == "HashTable":
+                insert_func(structure, name, phone)
+            else:
+                structure = insert_func(structure, name, phone)
+        
+        end = time.perf_counter()
+        times.append(end - start)
+    
+    return times
+
+def measure_search(structure_type, structure, queries, repeats=3):
+    times = []
+    
+    for _ in range(repeats):
+        start = time.perf_counter()
+        
+        for name in queries:
+            if structure_type == "LinkedList":
+                ll_find(structure, name)
+            elif structure_type == "HashTable":
+                ht_find(structure, name)
+            elif structure_type == "BST":
+                bst_find(structure, name)
+        
+        end = time.perf_counter()
+        times.append(end - start)
+    
+    return times
+
+def measure_deletion(structure_type, structure, names_to_delete, repeats=3):
+    times = []
+    
+    for _ in range(repeats):
+        if structure_type == "LinkedList":
+            temp_structure = copy_linked_list(structure)
+            delete_func = ll_delete
+            
+        elif structure_type == "HashTable":
+            temp_structure = structure.copy()
+            for i in range(len(temp_structure)):
+                if temp_structure[i]:
+                    temp_structure[i] = copy_linked_list(temp_structure[i])
+            delete_func = ht_delete
+            
+        elif structure_type == "BST":
+            temp_structure = copy_bst(structure)
+            delete_func = bst_delete
+        
+        start = time.perf_counter()
+        
+        for name in names_to_delete:
+            if structure_type == "HashTable":
+                delete_func(temp_structure, name)
+            else:
+                temp_structure = delete_func(temp_structure, name)
+        
+        end = time.perf_counter()
+        times.append(end - start)
+    
+    return times
+
+def run_experiment(N=2000):
+    """Запускает все эксперименты и возвращает результаты"""
+    
+    print(f"Генерация тестовых данных (N={N})...")
+    records_shuffled, records_sorted = generate_test_data(N)
+    
+    queries = get_test_queries(records_shuffled, num_existing=100, num_nonexisting=10)
+    delete_names = get_delete_names(records_shuffled, num_to_delete=50)
+    
+    structures = ["LinkedList", "HashTable", "BST"]
+    modes = ["случайный", "отсортированный"]
+    
+    results = []
+    
+    print("\nНачало экспериментов:")
+    print("=" * 60)
+    
+    for structure in structures:
+        print(f"\nТестирование {structure}...")
+        
+        for mode in modes:
+            print(f"  Режим: {mode}")
+            records = records_shuffled if mode == "случайный" else records_sorted
+            
+            # Вставка
+            print(f"    Измерение вставки...")
+            try:
+                insert_times = measure_insertion(structure, records, repeats=3)
+                avg_insert = sum(insert_times) / len(insert_times)
+            except RecursionError:
+                print(f"    ОШИБКА: Превышена глубина рекурсии при вставке в {structure} для {mode} режима")
+                continue
+            
+            print(f"    Создание финальной структуры...")
+            if structure == "LinkedList":
+                final_structure = None
+                for name, phone in records:
+                    final_structure = ll_insert(final_structure, name, phone)
+            elif structure == "HashTable":
+                final_structure = ht_create(2000)
+                for name, phone in records:
+                    ht_insert(final_structure, name, phone)
+            elif structure == "BST":
+                final_structure = None
+                for name, phone in records:
+                    final_structure = bst_insert(final_structure, name, phone)
+            
+            print(f"    Измерение поиска...")
+            search_times = measure_search(structure, final_structure, queries, repeats=3)
+            avg_search = sum(search_times) / len(search_times)
+            
+            print(f"    Измерение удаления...")
+            deletion_times = measure_deletion(structure, final_structure, delete_names, repeats=3)
+            avg_deletion = sum(deletion_times) / len(deletion_times)
+            
+            results.append({
+                "Структура": structure,
+                "Режим": mode,
+                "Операция": "вставка",
+                "Замеры": insert_times,
+                "Среднее": avg_insert
+            })
+            results.append({
+                "Структура": structure,
+                "Режим": mode,
+                "Операция": "поиск",
+                "Замеры": search_times,
+                "Среднее": avg_search
+            })
+            results.append({
+                "Структура": structure,
+                "Режим": mode,
+                "Операция": "удаление",
+                "Замеры": deletion_times,
+                "Среднее": avg_deletion
+            })
+            
+            print(f"      Вставка: {avg_insert:.6f} сек")
+            print(f"      Поиск: {avg_search:.6f} сек")
+            print(f"      Удаление: {avg_deletion:.6f} сек")
+    
+    return results
+
+
+# ============================================================
+# СОХРАНЕНИЕ РЕЗУЛЬТАТОВ В CSV
+# ============================================================
+
+import os
+import csv
+from datetime import datetime
+
+def save_to_csv(results, filename="results.csv"):
+    save_dir = "/Users/mariiaos/2026-rff_mp/osipovamd/docs"
+    filepath = os.path.join(save_dir, filename)
+    
+    with open(filepath, "w", newline="", encoding="utf-8") as f:
+        writer = csv.writer(f)
+        writer.writerow(["Структура", "Режим", "Операция", "Замер1", "Замер2", "Замер3", "Среднее"])
+        
+        for res in results:
+            row = [
+                res["Структура"],
+                res["Режим"],
+                res["Операция"],
+                *[f"{t:.6f}" for t in res["Замеры"]],
+                f"{res['Среднее']:.6f}"
+            ]
+            writer.writerow(row)
+    
+    print(f"\nРезультаты сохранены в: {filepath}")
+    return filepath
+
+def plot_results(results):
+    
+    if not results:
+        print("Нет данных для построения графиков!")
+        return
+    
+    plt.style.use('seaborn-v0_8-darkgrid')
+    fig, axes = plt.subplots(1, 3, figsize=(15, 5))
+    
+    operations = ["вставка", "поиск", "удаление"]
+    structures = ["LinkedList", "HashTable", "BST"]
+    modes = ["случайный", "отсортированный"]
+    
+    colors = {'LinkedList': '#FF6B6B', 'HashTable': '#4ECDC4', 'BST': '#45B7D1'}
+    
+    for idx, operation in enumerate(operations):
+        ax = axes[idx]
+        
+        x = np.arange(len(modes))
+        width = 0.25
+        multiplier = 0
+        
+        for structure in structures:
+            values = []
+            for mode in modes:
+                found = False
+                for res in results:
+                    if (res["Структура"] == structure and 
+                        res["Режим"] == mode and 
+                        res["Операция"] == operation):
+                        values.append(res["Среднее"])
+                        found = True
+                        break
+                if not found:
+                    values.append(0)
+            
+            if max(values) > 0:
+                offset = width * multiplier
+                bars = ax.bar(x + offset, values, width, label=structure, color=colors[structure])
+                multiplier += 1
+        
+        ax.set_xlabel('Режим данных', fontsize=12)
+        ax.set_ylabel('Время (секунды)', fontsize=12)
+        ax.set_title(f'{operation.capitalize()}', fontsize=14, fontweight='bold')
+        ax.set_xticks(x + width)
+        ax.set_xticklabels(modes)
+        ax.legend(loc='upper left')
+        ax.grid(True, alpha=0.3)
+    
+    plt.suptitle('Сравнение производительности структур данных', 
+                 fontsize=16, fontweight='bold')
+    plt.tight_layout()
+    plt.savefig('performance_comparison.png', dpi=300, bbox_inches='tight')
+    plt.show()
+    
+    print("\nГрафик сохранён как 'performance_comparison.png'")
+
+
+if __name__ == "__main__":
+    print("=" * 60)
+    print("ТЕСТИРОВАНИЕ ПРОИЗВОДИТЕЛЬНОСТИ СТРУКТУР ДАННЫХ")
+    print("=" * 60)
+    
+    results = run_experiment(N=1000)  
+    save_to_csv(results)
+    
+    if results:
+        print("\nПостроение графиков...")
+        plot_results(results)
+        
+        print("\n" + "=" * 60)
+        print("СВОДНАЯ ТАБЛИЦА РЕЗУЛЬТАТОВ (среднее время в секундах)")
+        print("=" * 60)
+        print(f"{'Структура':<12} {'Режим':<12} {'Вставка':<10} {'Поиск':<10} {'Удаление':<10}")
+        print("-" * 60)
+        
+        for structure in ["LinkedList", "HashTable", "BST"]:
+            for mode in ["случайный", "отсортированный"]:
+                insert_time = search_time = delete_time = 0
+                for res in results:
+                    if res["Структура"] == structure and res["Режим"] == mode:
+                        if res["Операция"] == "вставка":
+                            insert_time = res["Среднее"]
+                        elif res["Операция"] == "поиск":
+                            search_time = res["Среднее"]
+                        elif res["Операция"] == "удаление":
+                            delete_time = res["Среднее"]
+                
+                if insert_time > 0 or search_time > 0 or delete_time > 0:
+                    print(f"{structure:<12} {mode:<12} {insert_time:<10.6f} {search_time:<10.6f} {delete_time:<10.6f}")
+    else:
+        print("\nЭксперимент не дал результатов из-за ошибок.")
+    
+    print("\nЭксперимент завершён!")
\ No newline at end of file
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index 0000000..8d3e3d2
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